Probability of rail break caused by out-of-round wheel loads

•Statistical approach for assessment of probability of rail break due to wheel–rail impact loading.•Multi-dimensional stochastic parameter space including detector and field test data.•Meta-models based on poly-harmonic splines to reduce computational cost of analysis. A simulation procedure to pred...

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Veröffentlicht in:	Engineering structures Jg. 294; S. 116717
Hauptverfasser:	Nielsen, Jens C.O., Ekberg, Anders
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2023
Schlagworte:	Dynamic vehicle -track interaction Linear elastic fracture mechanics Out -of -round wheel Poly -harmonic spline Rail break probability Subset simulation algorithm Wheel -rail impact Wheel-rail impact Poly-harmonic spline Out-of-round wheel Subset simulation algorithm Linear elastic fracture mechanics Dynamic vehicle-track interaction Rail break probability
ISSN:	0141-0296, 1873-7323, 1873-7323
Online-Zugang:	Volltext
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Zusammenfassung:	•Statistical approach for assessment of probability of rail break due to wheel–rail impact loading.•Multi-dimensional stochastic parameter space including detector and field test data.•Meta-models based on poly-harmonic splines to reduce computational cost of analysis. A simulation procedure to predict the probability of rail break due to a measured wheel load spectrum is presented. The load distribution includes a representative proportion of high-magnitude dynamic loads generated by out-of-round wheels. Linear elastic fracture mechanics is applied to determine the stress intensities of pre-existing rail head cracks in a continuously welded rail subjected to combined bending and temperature loading. Rail bending moments are evaluated using a validated time-domain model of dynamic vehicle–track interaction. The considered multi-dimensional stochastic parameter space includes field test data of dynamic loads from a wheel impact load detector and crack depths from eddy current data. Meta-models based on poly-harmonic splines are applied to reduce the computational cost of the analysis. Supported by the extensive field test data, the simulation procedure is demonstrated by investigating the influences of freight traffic type, track support stiffness and rail temperature on the probability of a rail break initiated at a pre-existing rail head crack.
ISSN:	0141-0296 1873-7323 1873-7323
DOI:	10.1016/j.engstruct.2023.116717